A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Daniel Bolya, Po-Yao Huang, Peize Sun, et al.
Perception Encoder is a vision encoder trained via contrastive vision-language learning that achieves state-of-the-art results across diverse tasks by extracting strong general embeddings from intermediate layers.
Yunxin Li, Zhenyu Liu, Zitao Li, et al.
This survey introduces Large Multimodal Reasoning Models (LMRMs) and proposes the concept of native LMRMs (N-LMRMs) that integrate perception, reasoning, and planning.
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This paper proposes perception-centric process reward models to improve vision-language models by providing fine-grained feedback during reasoning.